Perception and knowledge of artificial intelligence in healthcare, therapy and diagnostics: A population-representative survey

Cornelius G Wittal, Doerte Hammer, Farina Klein, Joachim Rittchen
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Abstract

Artificial intelligence (AI) is understood as a system's ability to correctly interpret and learn from data, and to achieve specific goals and tasks through flexible adaptation to those learnings. Despite a broad range of available applications for artificial intelligence in medicine, healthcare professionals are reluctant to implement AI-powered devices. Data on the perception of medical AI in the German general public are currently rare. Therefore, two online surveys were conducted in 2021 in Germany to assess knowledge and perception of artificial intelligence in general and in medicine, including the handling of data in medicine. A total of 1,001 and 1,000 adults, respectively, participated in the surveys. The survey results stress the need to improve education and perception of medical AI applications by increasing awareness, highlighting the potentials, and ensuring compliance with guidelines and regulations to handle data protection. This survey provides first insights into this relevant topic within the German population.
人工智能在医疗保健、治疗和诊断中的感知和知识:一项人口代表性调查
人工智能(AI)被理解为一个系统正确解释和从数据中学习的能力,并通过灵活地适应这些学习来实现特定的目标和任务。尽管人工智能在医学上有广泛的应用,但医疗保健专业人员不愿意实施人工智能驱动的设备。目前,关于德国公众对医疗人工智能认知的数据很少。因此,德国于2021年进行了两项在线调查,以评估人工智能在总体和医学方面的知识和感知,包括医学数据处理。共有1001名和1000名成年人分别参与了调查。调查结果强调,需要通过提高认识、突出潜力、确保遵守指导方针和法规来处理数据保护,从而改善对医疗人工智能应用的教育和认知。这项调查提供了对德国人口中这一相关主题的首次见解。
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